pookieinc

As someone who isn't super into fonts, this font reminds me a lot of Berkeley Mono, which is an incredible terminal font

It's interesting that in all their benchmarks, they omit Fable numbers and only focus on Opus, Sonnet, and OpenAI models. Maybe Fable is out the door?

Idea: Someone should just build a prompt generator that takes whatever the latest "Prompting" techniques are for each model and re-configure it to be as optimal as possible, adding in whatever is needed to get the highest quality result.

I say the above because I'm seeing entire worlds and games being one-shotted built on X and I just have no idea how they do it. I tried building a large prompt for Fable when it was first released and it didn't have anything close to resembling some of the stuff I'm seeing today.

I don't see how anyone can be using Claude with prices like this, it's pretty incredible what the OpenAI team is doing, w.r.t model quality and pricing.

  Prices per 1M tokens     Claude Opus 5.5    Claude Opus 5
   Cache reads              $0.20              $0.50
   Input tokens             $4                 $5
   Output tokens            $20                $25
   Cache writes             $5                 $6.25

Model

Input

Output

Price reduction

GPT‑6 Sol vs. GPT‑5.6 Sol

$4 → $2

$20 → $10

50% cheaper

GPT‑6 Luna vs. GPT‑5.6 Luna

$0.20 → $0.10

$1.20 → $0.50

50% cheaper

“It performs at the level of Claude Fable 5.1 on most work and costs 40% less to run than Opus 5.”

They write that at the top, but then on benchmarks, it beats literally every other model, including Fable and Astra?

"Price. Fable 5.1 will cost an estimated 25% less than Fable 5 for typical workloads, wherever usage is billed by token. This is because we’re reducing our pricing on cache reads (where the model reads inputs that have already been processed and stored). For highly agentic work, the savings will often be much larger—up to approximately 45%."

Glad to see this!

If this is as epic as it sounds, I wonder what the response will be from the other leading frontier labs / whether they even have anything to respond with at this level?

To counter, we did the same with a trip to Copenhagen for 7 days and it got most paths correct. Train routes, places to visit with kids, restaurants, reservations, weather, most of it was great. There were a couple mistakes of course here and there, thankfully we did our due diligence, but by and large, we plan to do this for future trips.

I was wondering how they'd casually veer into social media and leverage their intelligence in a way that connects with the user. Like everyone else ITT, it seems like an incredibly sticky idea that leaves me feeling highly unsettled about individuals building any sense of deep emotions around ChatGPT.

I understand betas very well, but something as critical as that seems more fitting for an alpha. Liquid glass notifications on top of a bright wallpaper, bleeding together so you couldn't read or see anything shouldn't be in a beta.

My question is: Given Apple is one of the most valuable companies on the planet, they can (and surely have) hired some of the best designers in the world. Articles like this one and many others are virtually sharing what we all think and every time a new beta comes out, it's strange to see some of the decisions that are made. The first beta came out and it was _very hard_ to see the lock screen if you had notifications. How was that missed? Or keep liquid glass, but don't make the text bright blue, so it's so hard to see. Or trigger frosted glass if dependent on whatever the background is? I sincerely do find designers to be in a hard position (especially having worked with so many of them in the past directly), but a lot of these things seem like novice mistakes. Maybe it's not even in the designing, it's on the QA front? I'm not even sure here. I'm by no means a designer, but I have to believe that they are testing this as much as we are internally and have been for a long time now... I'd like to believe they aren't just changing UI elements on the fly based on what X / Twitter feels is good or bad.

For those of us who have moved the vast majority of our Google searches to ChatGPT / only use Google periodically for one-off questions, is there still a reason to switch to Kagi?

The biggest complaint I (and several others) have is that we continuously hit the limit via the UI after even just a few intensive queries. Of course, we can use the console API, but then we lose ability to have things like Projects, etc.

Do you foresee these limitations increasing anytime soon?

Quick Edit: Just wanted to also say thank you for all your hard work, Claude has been phenomenal.

Can't wait to try this. What's amazing to me is that when this was revealed just one short month ago, the AI landscape looked very different than it does today with more AI companies jumping into the fray with very compelling models. I wonder how the AI shift has affected this release internally, future releases and their mindset moving forward... How does the efficiency change, the scope of their models, etc.

"HTMX - skip this, it's just a meme"

Rare to see this take, everyone claims it's incredible. Can you share more about why?